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Design of multiparameter steerable functions using cascade basis reduction

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2 Author(s)
P. C. Teo ; Dept. of Comput. Sci., Stanford Univ., CA, USA ; Y. Hel-Or

An efficient method of computing the least-squares optimal basis functions to steer any function locally is presented. The method combines the Lie group-theoretic and the singular value decomposition approaches. Its efficiency is demonstrated with the design of basis functions to steer a Gabor function under the four-parameter linear transformation group

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:21 ,  Issue: 6 )